11 citations · 31 across the 12 of their papers we have counts for
13 papers
LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices
Jonas Kühne, Christian Vogt, Michele Magno +1
Accurate, infrastructure-less sensor systems for motion tracking are essential for mobile robotics and augmented reality (AR) applications. The most popular state-of-the-art visual…
A Non-Invasive Path to Animal Welfare: Contactless Vital Signs and Activity Monitoring of In-Vivo Rodents Using a mm-Wave FMCW Radar
Tommaso Polonelli, Manuel Glahn, Stefano Kron +3
Monitoring physiological and behavioral parameters of laboratory rodents is fundamental for biomedical research, yet conventional techniques often rely on invasive sensors or frequ…
Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses
Alan Magdaleno, Pietro Bonazzi, Tommaso Polonelli +1
Contactless Electrooculography (EOC) using electric charge variation (QVar) sensing has recently emerged as a promising eye-tracking technique for wearable devices. QVar enables lo…
Efficient and Accurate Downfacing Visual Inertial Odometry
Jonas Kühne, Christian Vogt, Michele Magno +1
Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and…
EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization
Benjamin Hodo, Tommaso Polonelli, Amirhossein Moallemi +2
We present EdgeCodec, an end-to-end neural compressor for barometric data collected from wind turbine blades. EdgeCodec leverages a heavily asymmetric autoencoder architecture, tra…
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Quynh Nguyen-Phuong Vu, Luciano Sebastian Martinez-Rau, Yuxuan Zhang +4
Keyword spotting (KWS) is an essential function that enables interaction with ubiquitous smart devices. However, in resource-limited devices, KWS models are often static and can th…
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications
Yuke Cai, Davide Plozza, Steven Marty +2
Time of Flight ToF cameras renowned for their ability to capture realtime 3D information have become indispensable for agile mobile robotics These cameras utilize light signals to…
Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker
Davide Plozza, Steven Marty, Cyril Scherrer +3
In the rapidly evolving landscape of autonomous mobile robots, the emphasis on seamless human-robot interactions has shifted towards autonomous decision-making. This paper delves i…
ElectraSight: Smart Glasses with Fully Onboard Non-Invasive Eye Tracking Using Hybrid Contact and Contactless EOG
Nicolas Schärer, Federico Villani, Aishwarya Melatur +3
Smart glasses with integrated eye tracking technology are revolutionizing diverse fields, from immersive augmented reality experiences to cutting-edge health monitoring solutions.…
A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices
Silvano Cortesi, Michele Crabolu, Prodromos-Vasileios Mekikis +3
Asset tracking solutions have proven their significance in industrial contexts, as evidenced by their successful commercialization (e.g., Hilti On!Track). However, a seamless solut…
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units
Liam Boyle, Julian Moosmann, Nicolas Baumann +2
Advances in lightweight neural networks have revolutionized computer vision in a broad range of IoT applications, encompassing remote monitoring and process automation. However, th…
Ultra-Lightweight Collaborative Mapping for Robot Swarms
Vlad Niculescu, Tommaso Polonelli, Michele Magno +1
A key requirement in robotics is the ability to simultaneously self-localize and map a previously unknown environment, relying primarily on onboard sensing and computation. Achievi…
Aerodynamic Performance and Impact Analysis of a MEMS-Based Non-Invasive Monitoring System for Wind Turbine Blades
Nicolas Schärer, Denis Mikhaylov, Cédric Sievi +6
Wind power generation plays a crucial role in transitioning away from fossil fuel-dependent energy sources, contributing significantly to the mitigation of climate change. Monitori…